Temporary Intern - Agentic AI & Neural-Symbolic Systems (Healthcare)

Responsibilities:

• Design and run evaluations for LLM-based agents, analyzing behavior and identifying failure modes.
• Build components such as tools, skills, and memory systems, improving orchestration and developer experience.
• Explore neural-symbolic AI approaches for healthcare use cases requiring explainability, like claims processing.

Qualifications:

• Currently pursuing a Bachelor’s degree in a related field, with hands-on Python experience.
• Familiarity with LLMs and GenAI through projects, and strong curiosity for learning in ambiguous environments.
• Ability to problem-solve, think critically, and iterate through experimentation independently.

Working Conditions:

• Position is fully remote, requiring a dedicated, secure work area with high-speed internet.
• Involves prolonged stationary periods and communication with engineers, data scientists, and product teams.
• No adverse environmental conditions, with all interviews conducted virtually.